Data Leakage Detection and Prevention Using Cloud Computing

Abstract

This research discusses the definition of data leakage, the consequences and reasons of data leaking, and numerous approaches for preventing and detecting data leakage. Since the data has such high value, it should not be compromised or misused. A massive database is constantly being processed in the world of IT. At any given time, this database is accessible to several individuals. However, there is a significant risk of data, disclosure, insecurity, or manipulation during this distribution process. To minimize or take care of these predicaments, data leakage detection system has been designed. Data Loss/Leakage Prevention methodology is massively impactful when it comes to prohibiting data loss. The data leakage/loss control technique that fits seamlessly with the institutional architecture of enterprises is determined to be Data Loss Prevention. It not only aids in the preservation of formatted data but also in the safeguarding and avoidance of unstructured data leaks. DLP is a preventative measure that, when implemented, aids enterprises in preventing confidential data leakage (private information, monetary details, foreign exchange secrets, mergers, and procurements, and so on). Because of numerous ordinances and legislative requirements by multiple nations, the DLP approach is not just for enormous establishments and selective enterprise sectors such as banking and finance but it is also a mandate for minimal enterprises and numerous sectors of the market (health care, aerospace industries, consultancy services, etc.). This document provides a brief overview of data leakage detection as well as a research approach for identifying data leaking individuals.